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SunGard Download Cover - Statistical Models

How Statistical Models Can Help Navigate the Future of Medical Debt Collections

An increasing percentage of people with medical insurance are having difficulty paying medical bills. With growing debt and rising costs, healthcare providers and medical debt collectors are turning to statistical modeling to develop a more targeted and effective patient friendly collections strategy. Download this white paper to learn how statistical models can help you identify which accounts have the highest propensity to pay, helping you make the collections process more efficient and effective leading to cost reductions and increased liquidations.

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Student Loan Collection: Snapshots and Strategies

If your collection agency isn’t involved in the student loan market, then you’re missing out on your share of a $1 trillion pot. The purpose of this report from Ontario Systems is to explain how the size (huge) and dynamic (complex) of the student loan market can be used as an opportunity for debt collectors […]

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Harnessing the Speech Analytics Advantage

Conversations with consumers —- whether asking for payment or answering product questions —- are an expensive form of contact, fraught with compliance risk. When handled unsuccessfully, they can negatively impact the bottom line, as well as increase risk of fines and reputational damage for regulatory noncompliance. This paper from FICO looks at how companies can use these analytic insights to achieve profitable business goals.

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Three Strategies to Shrink Bad Debt: Presumptive Charity Care, Propensity to Pay and Partner Management

Despite the advances of the Patient Protection and Affordable Healthcare Act (ACA) related to patient debt (establishing maximum out-of-pocket expenses and other protections), most healthcare finance analysts believe bad debt will increase over the coming years.

In this free whitepaper, sponsored by LexisNexis, you’ll discover best practices from a wide range of healthcare providers who have managed to stem the tide of bad debt increases.

Tech Lock Challenge Downloadable Cover

TECH LOCK Challenge: A Compliance and Data Security Questionnaire

Using these 55 questions, developed by industry-expert Todd Langusch of TECH LOCK, Inc., you’ll be able to immediately see any vulnerabilities your agency may be laboring with.

This comprehensive questionnaire looks at the following risk areas: Risk Assessment, Security Awareness, Overseeing Service providers, Encryption, Transmission of Sensitive or Non-Public Personal Information, Firewall, System Hardening, Regularly Monitor and Test, Strong Access Control measures, General, Remote Access.

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Effective Strategies for Deceased Case Management

With increased attention on the credit and collections industry, it’s more important than ever to not only know the status of your consumers, but to have a plan on how to service accounts as they move into different statuses. One account status that should not be overlooked is that of the deceased consumer.

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Why Is Nobody Talking about ICD-10?

With less than a year until the switchover to ICD-10, we are entering crunch time. Many healthcare providers only have just begun their planning for the transition, which must be completed by Oct. 1, 2014. More importantly, in survey after survey, many revenue cycle managers or healthcare providers claim they do not know the status of their ICD-10 project.

ICD-10 migration, contrary to what some may think, is not a “coding department problem” or an “IT problem.” Implementing ICD-10 will have ripples throughout the organization, affecting almost every department in some manner.

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5 Tips to End the Credit Reporting Nightmare

Even when it’s working right, the U.S. credit reporting system affects all of us. Consumers, who pay their bills promptly, receive higher credit scores; debt collectors who accurately report consumer accounts experience increased recoveries; and lenders who rely on the credit reporting system make better lending decisions.

But the U.S. credit reporting system is in a state of disarray and this spells “n-i-g-ht-m-a-r-e” for data furnishers.